Overview

In the realm of modern business and technology, data analysis is indispensable. The “Data Analyst: The Complete Course” offers a comprehensive journey into the fundamentals and advanced techniques of data analysis. This course equips learners with the essential skills to collect, organize, analyze, and interpret data effectively. Through hands-on exercises and real-world examples, participants will master data manipulation, visualization, and statistical analysis using industry-standard tools and techniques. Whether you are new to data analysis or looking to refine your skills, this course provides a structured approach to harnessing the power of data for informed decision-making. By the end of this course, you will be proficient in handling complex datasets and deriving actionable insights to drive business success.

Learning Outcomes

What Will Make You Stand Out?

On Completion of this online course, you’ll acquire:

Description

The “Data Analyst: The Complete Course” is designed to equip learners with the skills and knowledge required to excel in the field of data analysis. Starting with the basics of data types and structures, participants will delve into data cleaning and preparation methodologies. The course progresses to advanced topics such as statistical analysis, hypothesis testing, and regression modeling, empowering learners to make informed decisions based on data-driven insights.Hands-on projects and case studies provide practical experience in manipulating datasets and deriving meaningful conclusions. Participants will also learn to visualize data effectively using tools like Tableau and Excel, gaining proficiency in presenting findings to stakeholders.Throughout the course, emphasis is placed on using industry-standard tools such as SQL and Python for data manipulation and analysis. By the end of the program, students will have the skills to perform complex data analysis tasks independently and contribute to data-driven decision-making processes within their organizations.Whether you are aspiring to enter the field of data analysis or seeking to enhance your current skill set, this course offers a structured pathway to becoming a proficient data analyst. With a focus on practical skills and real-world applications, participants will emerge ready to tackle challenges in data-driven environments with confidence.

Who is this course for?

This course is ideal for aspiring data analysts, business analysts, and professionals looking to enhance their analytical skills. It is suitable for beginners with no prior experience in data analysis as well as intermediate learners aiming to deepen their knowledge and proficiency in data manipulation and interpretation.

Requirements

Participants should have a basic understanding of mathematics and statistics. Familiarity with computer operations and software applications is recommended. No prior experience in programming is required, although a willingness to learn SQL and Python basics will be beneficial for hands-on exercises and projects.

Certification

Upon successful completion of the Data Analyst: The Complete Course course, learners can obtain both a PDF certificate and a Hard copy certificate for completely FREE. The Hard copy certificate is available for a nominal fee of £3.99, which covers the delivery charge within the United Kingdom. Additional delivery charges may apply for orders outside the United Kingdom.

Career Path

Course Curriculum

Introduction to Data Analysis
Module 01: Introduction 00:02:00
Module 02: Agenda and Principles of Process Management 00:06:00
Module 03: The Voice of the Process 00:05:00
Module 04: Working as One Team for Improvement 00:04:00
Module 05: Exercise: The Voice of the Customer 00:03:00
Module 06: Tools for Data Analysis 00:07:00
Module 07: The Pareto Chart 00:03:00
Module 08: The Histogram 00:03:00
Module 09: The Run Chart 00:04:00
Module 10: Exercise: Presenting Performance Data 00:05:00
Module 11: Understanding Variation 00:06:00
Module 12: The Control Chart 00:06:00
Module 13: Control Chart Example 00:04:00
Module 14: Control Chart Special Cases 00:06:00
Module 15: Interpreting the Control Chart 00:10:00
Module 16: Control Chart Exercise 00:07:00
Module 17: Strategies to Deal with Variation 00:06:00
Module 18: Using Data to Drive Improvement 00:14:00
Module 19: A Structure for Performance Measurement 00:06:00
Module 20: Data Analysis Exercise 00:06:00
Module 21: Course Project 00:03:00
Module 22: Test your Understanding 00:17:00
Google Data Studio
Module 01: Introduction to GDS 00:36:00
Module 02: Data Visualization 01:29:00
Module 03: Geo-visualization 00:16:00
Module 04: A Socio-Economic Case Study 00:20:00
Data Analysis and Forecasting in Excel
Modifying a Worksheet
Insert, Delete, and Adjust Cells, Columns, and Rows 00:10:00
Search for and Replace Data 00:09:00
Use Proofing and Research Tools 00:07:00
Working with Lists
Sort Data 00:10:00
Filter Data 00:10:00
Query Data with Database Functions 00:09:00
Outline and Subtotal Data 00:09:00
Analyzing Data
Apply Intermediate Conditional Formatting 00:07:00
Apply Advanced Conditional Formatting 00:05:00
Visualizing Data with Charts
Create Charts 00:13:00
Modify and Format Charts 00:12:00
Use Advanced Chart Features 00:12:00
Using PivotTables and PivotCharts
Create a PivotTable 00:13:00
Analyze PivotTable Data 00:12:00
Present Data with PivotCharts 00:07:00
Filter Data by Using Timelines and Slicers 00:11:00
Working with Multiple Worksheets and Workbooks
Use Links and External References 00:12:00
Use 3-D References 00:06:00
Consolidate Data 00:05:00
Using Lookup Functions and Formula Auditing
Use Lookup Functions 00:12:00
Trace Cells 00:09:00
Watch and Evaluate Formulas 00:08:00
Automating Workbook Functionality
Apply Data Validation 00:13:00
Search for Invalid Data and Formulas with Errors 00:04:00
Work with Macros 00:18:00
Creating Sparklines and Mapping Data
Create Sparklines 00:07:00
MapData 00:07:00
Forecasting Data
Determine Potential Outcomes Using Data Tables 00:08:00
Determine Potential Outcomes Using Scenarios 00:09:00
Use the Goal Seek Feature 00:04:00
Forecasting Data Trends 00:05:00

Frequently Asked Questions

In the UK, the social care system is mainly managed by the local councils. People are directly employed by the councils. They often work together with the health commissioners under joint funding arrangements. Some people work for private companies or voluntary organizations hired by local councils. They help the local councils with their personal social services.

In the UK, the social care system is mainly managed by the local councils. People are directly employed by the councils. They often work together with the health commissioners under joint funding arrangements. Some people work for private companies or voluntary organizations hired by local councils. They help the local councils with their personal social services.

In the UK, the social care system is mainly managed by the local councils. People are directly employed by the councils. They often work together with the health commissioners under joint funding arrangements. Some people work for private companies or voluntary organizations hired by local councils. They help the local councils with their personal social services.

In the UK, the social care system is mainly managed by the local councils. People are directly employed by the councils. They often work together with the health commissioners under joint funding arrangements. Some people work for private companies or voluntary organizations hired by local councils. They help the local councils with their personal social services.

In the UK, the social care system is mainly managed by the local councils. People are directly employed by the councils. They often work together with the health commissioners under joint funding arrangements. Some people work for private companies or voluntary organizations hired by local councils. They help the local councils with their personal social services.

Data Analyst: The Complete Course
£21
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This course includes:
  • units Number of Units:
    57
  • Lock Access:
    1 Year
  • Duration Duration:
    9 hours, 37 minutes
  • Certificate PDF Certificate
    Included
CPD and SSL Lifetime Access

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